• Architecting and building the software and data infrastructure • Ensuring data is accurate, consistent, and trusted

• Design, build, and maintain scalable systems for ingestion, transformation, and storage of data, with a focus on testing and observability. • Implement frameworks, tooling, and automation to safely increase development velocity. • Develop foundational end-to-end AI/ML workflows from (1) source ingestion and preparation, (2) training and tuning, (3) experimentation and productionization, and (4) downstream systems integration (EHR modules, micro-services, dashboards). • Support iterative model development and production operations and observability (accuracy, drift, bias, fairness, reproducibility). • Contribute to a culture of continuous improvement, knowledge-sharing and mentoring of peer engineers. • Leverage AI tools as a core part of daily work (drafting, research, iteration) to improve efficiency, quality, and decision-making.

About Us. Trumid is a dynamic fintech revolutionizing the landscape of fixed income trading. With intelligent, easy-to-use, electronic solutions, we are rapidly growing and seeking exceptional talent to help redefine the boundaries of technology and finance. Founded in 2014 by a team of fixed income market experts, Trumid has quickly become one of the top three corporate bond e-trading platforms in the U.S. Today, over 1,300 traders from an extensive and expanding client network of 890+ buy-and sell-side institutions transact on Trumid monthly. With a rich history of innovation and a unique ability to innovate at scale, we collaborate closely with our clients, iterating quickly toward optimal solutions. With market share and client engagement at all-time highs and our pace of product development faster than ever, this is an exciting and transformative time at Trumid. Our business model thrives on participation, and so does our company culture. We rely on every team member’s contribution to help us accomplish our goals. To succeed at Trumid, you must be curious, passionate about your craft, ambitious, collaborative, and driven. The Opportunity. Trumid is seeking a Senior Data Engineer to join our Data & Intelligence team and build the analytics platform that powers reporting, decision-making, and data delivery across the organization. In this role, you will use dbt to design and implement scalable data models in BigQuery aimed at making complex data digestible for internal and external stakeholders via reports and BI tools as well as agentic AI products within our tech stack. This role focuses primarily on building the data models and datasets that power analytics and reporting, rather than working exclusively on dashboards. As part of the broader data platform team, engineers may occasionally contribute to reporting or visualization work when needed to support stakeholders. You will also help establish best practices for data governance, documentation, testing, and metric definition across the analytics platform. This position is U.S.-based, with remote or hybrid options available. Candidates located in New York City are preferred. The Tech Stack. BigQuery, dbt, Fivetran, SQL-based data modeling, and modern analytics and semantic layer tools. We rely heavily on AI-powered IDEs and agentic workflows for development. What You'll Build. - Curated data models in BigQuery using dbt that define consistent business metrics across Trumid - Data delivery systems that support dashboards, client-facing reporting, compliance datasets, and other external data products - Governed datasets and documentation that enable self-service analytics across the organization Key Responsibilities. - Design and implement scalable data models in BigQuery using dbt that power analytics, reporting, and operational insights - Develop systems for delivering data to internal stakeholders and external clients - Maintain data governance practices including documentation, lineage, testing, and data quality standards - Optimize query performance and cost efficiency for analytics workloads in BigQuery - Partner closely with product, sales, analytics, and executive stakeholders to translate business requirements into reliable data models - Mentor engineers and analysts on analytics engineering and data modeling best practices - Contribute to the broader data platform, collaborating with engineers building real-time data systems and infrastructure About you. - 5+ years of experience building analytics or data platform infrastructure - Strong expertise in SQL and dbt, including complex transformation logic and data modeling - Experience designing data warehouse models in BigQuery or similar cloud data warehouses - Strong understanding of data modeling patterns in columnar databases - Experience building curated datasets used by analysts and business stakeholders - Experience working with modern data stack tools such as Fivetran or similar ingestion frameworks - Strong communication skills and ability to collaborate with non-technical stakeholders We are hiring for multiple roles and levels on this team. Candidates whose experience aligns more closely with another level may be considered for that role during the interview process. Employee benefits. - Highly competitive compensation - Fully paid medical, dental and vision coverage - Remote work - Team-oriented and collaborative company culture In compliance with New York City Pay Transparency Law, the base salary range for this role in New York City is between $200- $250,000. This range does not include discretionary bonus or other forms of compensation or benefits offered in connection with this job. Several factors are considered when determining a candidate’s compensation. Please note that the salary range listed for this position is based on the level of experience outlined in the job description. If a candidate's experience differs from the requirements, the salary may be adjusted accordingly. Trumid is an equal opportunity employer. Please note: All communication from Trumid's recruiting team comes from @trumid.com email addresses. We conduct remote interviews via Zoom only. We will never ask you to purchase equipment, download software (other than Zoom), or share sensitive personal information during the hiring process.

• Build and maintain ETL/ELT data pipelines in Databricks and Spark, ensuring data is ingested, transformed, and delivered reliably for analytics and AI use cases. • Develop and evolve logical and physical data models to support reporting, experimentation, and advanced workflows (e.g., scoring models, signal generation). • Implement monitoring, alerts, and testing for data quality, timeliness, and lineage to ensure trustworthy data delivery. • Support workflow orchestration with Databricks Jobs, DBT, or equivalent scheduling tools to operate at scale. • Contribute to data pipelines and tooling that support retrieval-augmented generation (RAG), vector integrations, or embedding workflows. • Design and optimize bulk GenAI data pipelines in Databricks to support generative AI applications at scale. • Partner with AI engineers and data scientists to enable experimentation, model training, and production-grade deployments. • Develop frameworks for data ingestion, transformation, governance, and monitoring across CRM, sales, and revenue systems. • Work with RevOps, sales, and customer success stakeholders to translate business needs into data requirements and stable technical implementations.